Classification of Occluded Images for Large-Scale Datasets With Numerous Occlusion Patterns.
Feng CenXiaoyu ZhaoWuzhuang LiFanglai ZhuPublished in: IEEE Access (2020)
Keyphrases
- image classification
- partially occluded
- image data
- million images
- image database
- input image
- three dimensional
- image features
- ground truth
- real world
- pattern recognition
- repetitive patterns
- image collections
- image analysis
- benchmark datasets
- image retrieval
- background clutter
- feature selection
- uci machine learning repository
- feature extraction
- test images
- image matching
- image regions
- edge detection
- support vector
- object recognition
- feature space
- partial occlusion
- thematic mapper
- lung disease
- decision trees
- segmentation method
- feature vectors
- image set
- lighting conditions
- image annotation
- preprocessing stage
- training data
- classification accuracy
- image registration
- segmentation algorithm